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The model can explain approximately 87.36% of the variation in future observations

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Cluster assignment of any patient can be done clinically with an algorithmic tool that uses age at diagnosis, GAD antibodies, BMI, HbA1c, fasting glucose and C-peptide as input variables, and determines the shortest distance between the individual values and the five different cluster centroids based on the distribution of these variables in the full ANDIS cohort 3

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